quartile- one of the values of a variable that divides the distribution of the variable into four groups having equal frequencies.
A tertile or tercile.
A random variable is a variable which can take different values and the values that it takes depends on some probability distribution rather than a deterministic rule. A random process is a process which can be in a number of different states and the transition from one state to another is random.
The answer depends on one side of WHAT! There is no distribution which has a greater number of values on either side of its median.
You choose the values of the independent variable. The dependent variable is the one you measure.
It will be the same as the distribution of the random variable itself.
A Boolean variable is a variable from Boolean algebra having one of only two values.
A variable can have lots of different values - as opposed to a constant which has only one. That is why it is called a variable!
A discrete variable is one that cannot take on all values within the limits of the variable.
A discrete distribution is one in which the random variable can take only a limited number of values. A cumulative distribution, which can be discrete of continuous, is the sum (if discrete) or integral (if continuous) of the probabilities of all events for which the random variable is less than or equal to the given value.
You are likely familiar with the probability density function of the normal distribution--that is, the bell-shaped curve.A bimodal distribution is one whose probability density function has two 'humps' or maxima. In other words, values of the random variable are more likely to occur around where those two maxima occur than elsewhere, in the same way that values of a normally distributed random variable are more likely to occur around its maximum.
A binary variable.
The experimenter decides on a set of values for the independent variable, then measures the value of the dependent variable for each one.
A discrete variable can only take selected values - although there may be infinitely many such values. An example of such a variable would be an integer. A continuous variable is one that can take any value in a range (which may be infinite).
Dependent Variable is the variable that its value depends on the values of one or more independent variables.
A Gaussian distribution has the mean at the highest value. Sum all the values and divide by the number of values. * * * * * A very partial answer and one that does not address the question which was in the context of a frequency distribution table. If the frequencies are for grouped data, replace the range of each group by its midpoint. This, then, comprises the set of values, x, for the random variable. For each x there is an associated frequency, f. Multiply each x by its frequency and add these together. Divide the answer by the sum of the f values. That is the mean.
An explanatory variable is one which may be used to explain or predict changes in the values of another variable. There may be several explanatory variables.
A discrete variable.